Feeding Bread to the Luddites: The Radical Fundamentalist Islamic Revolution in Guerrilla Warfare

This study examines the war that the United States has waged since September 2001 as a global counterinsurgency. Placing the war against al-Qaeda and its allied groups and organizations in the context of a global insurgency also presents implications for doctrine, interagency coordination and military cultural change. The first part of the article offers a distilled analysis of al-Qaeda and its associated networks. The second section examines the US military in the context of the Western way of war, with the attendant military-cultural impediments to adapting to an enemy who embraces a very different approach to war. The third section aims to define and describe the nature of the war that America and its coalition partners are trying to wage. The concluding section offers the most value as it refines and distills the work of several international security and military thinkers to arrive at some imperatives for successfully prosecuting this type of war to its end.     

Schlock and Blah: Counter-insurgency Realities in a Rapid Dominance Era

This article examines the concept of ‘shock and awe’ in US military thought. It argues that the term derives from two main sources in defense thinking: rapidity in operations and overwhelming military superiority and is reflected in the concept of ‘full spectrum dominance’. However, the concept is not well attuned to fighting net-based counter insurgency war in a terrain such as Iraq which depends upon both intelligence gathering and adaptive military organizations. The article concludes that US military thinking should be more attuned to the effects of military force especially on political processes and the capacity of insurgents to mobilize popular support.     

Responding to the failed state: The need for strategy

Given the challenges posed by failed and failing states, and the likelihood that such failure will continue well into the new millennium, the need for a strategic approach appears evident. Should we respond? If so, how and with what expectations? Answers to such questions require an underlying set of strategic guidelines. This article contributes to developing that strategy by examining common manifestations of state failure and some possible response objectives. It concludes by arguing that careful and tough analysis must guide our choices about where and when to respond, and how ambitiously we set our objectives.     

Optimal resource extraction with uncertain reserves

We consider the problem of finding a plan that maximizes the expected discounted return when extracting a nonrenewable resource having uncertain reserves. An extraction plan specifies the rate at which the resource is extracted as a function of time until the resource is exhausted or the time horizon is reached. The return per unit of resource extracted may depend on the rate of extraction, time, and the amount of resource previously extracted. We apply a new method called the generalized search optimization technique to find qualitative features of optimal plans and to devise algorithms for the numerical calculation of optimal plans.     

A dynamic general linear model for inference from accelerated life tests

We present a new approach for inference from accelerated life tests. Our approach is based on a dynamic general linear model setup which arises naturally from the accelerated life-testing problem and uses linear Bayesian methods for inference. The advantage of the procedure is that it does not require large numbers of items to be tested and that it can deal with both censored and uncensored data. We illustrate the use of our approach with some actual accelerated life-test data. © 1992 John Wiley & Sons, Inc.     

An evaluation of scheduling heuristics for dynamic single-processor scheduling with early/tardy costs

In an endeavor to broaden the application of scheduling models to decisions involving the use of a manager's time we use simulation to investigate the performance of a number of simple algorithms (including eight priority rules and a construction heuristic) in a dynamic setting with tasks arriving (randomly) and scheduling decisions being made, over time. We compare these simple methods relative to a bound that uses an adjacent pairwise interchange algorithm. We model uncertainty in task durations, and costs being incurred for early and tardy task completion (representative of JIT settings). In addition to evaluating the efficacy of the scheduling rules and various preemption strategies (using ANOVA), we highlight the managerial implications of the effects of eight environmental parameters. © 1996 John Wiley & Sons, Inc.     

An exact aggregation/disaggregation algorithm for large scale markov chains

Many Markov chain models have very large state spaces, making the computation of stationary probabilities very difficult. Often the structure and numerical properties of the Markov chain allows for more efficient computation through state aggregation and disaggregation. In this article we develop an efficient exact single pass aggregation/disaggregation algorithm which exploits structural properties of large finite irreducible mandatory set decomposable Markov chains. The required property of being of mandatory set decomposable structure is a generalization of several other Markov chain structures for which exact aggregation/disaggregation algorithms exist. © 1995 John Wiley & Sons, Inc.